--- title: "Who cites Jun Suzuki" description: "98 papers of the Elamur Research library cite the works of Jun Suzuki, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/jun-suzuki/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jun-suzuki/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jun Suzuki](https://md.research.elamur.ai/free/en/authors/jun-suzuki/) / cited by # Who cites Jun Suzuki 98 citations of their works from 98 papers of our library (of the 140,884 whose bibliographies we read) · 29 with a page here, the most cited first · [← Jun Suzuki](https://md.research.elamur.ai/free/en/authors/jun-suzuki/) 1. [**Neural Text Summarization: A Critical Evaluation**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 555 citations*](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) 2. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*2017 · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/) 3. [**Discourse-Aware Neural Extractive Text Summarization**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 382 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/) 4. [**A Graph-to-Sequence Model for AMR-to-Text Generation**Linfeng Song, Yue Zhang, Zhiguo Wang, et al.*2018 · 329 citations*](https://md.research.elamur.ai/free/en/papers/song-2018-graph-sequence-model-amr-text/) 5. [**Better Document-level Sentiment Analysis from RST Discourse Parsing**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/) 6. [**Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints**Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein*2016 · 209 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2016-learning-based-single-document-summarization/) 7. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/) 8. [**Neural Discourse Structure for Text Categorization**Yangfeng Ji, Noah A. Smith*2017 · 180 citations*](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/) 9. [**Abstract Meaning Representation for Multi-Document Summarization**Kexin Liao, Logan Lebanoff, Fei Liu*2018 · 166 citations*](https://md.research.elamur.ai/free/en/papers/liao-2018-abstract-meaning-representation-multi-document/) 10. [**Semantic Neural Machine Translation Using AMR**Linfeng Song, Daniel Gildea, Yue Zhang, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/) 11. [**Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains**Wei Shi, Vera Demberg*2019 · 133 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/) 12. [**AMR-To-Text Generation with Graph Transformer**Tianming Wang, Xiaojun Wan, Hanqi Jin*2020 · 108 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-amr-text-generation-graph-transformer/) 13. [**AMR-to-text Generation with Synchronous Node Replacement Grammar**Linfeng Song, Xiaochang Peng, Yue Zhang, et al.*2017 · 108 citations*](https://md.research.elamur.ai/free/en/papers/song-2017-amr-text-generation-synchronous-node/) 14. [**A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 98 citations*](https://md.research.elamur.ai/free/en/papers/qin-2016-stacking-gated-neural-architecture-implicit/) 15. [**SciDTB: Discourse Dependency TreeBank for Scientific Abstracts**An Yang, Sujian Li*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/) 16. [**A Dependency Perspective on RST Discourse Parsing and Evaluation**Mathieu Morey, Philippe Muller, Nicholas Asher*2018 · 76 citations*](https://md.research.elamur.ai/free/en/papers/morey-2018-dependency-perspective-rst-discourse-parsing/) 17. [**Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings**Linh The Nguyen, Linh Van Ngo, Khoat Than, et al.*2019 · 52 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2019-employing-correspondence-relations-connectives-identify/) 18. [**Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations**Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein*2015 · 46 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-closing-gap-domain-adaptation-explicit/) 19. [**Learning Contextually Informed Representations for Linear-Time Discourse Parsing**Yang Liu, Mirella Lapata*2017 · 44 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-learning-contextually-informed-representations-linear/) 20. [**Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank**Kai Zhao, Liang Huang*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-syntacto-discourse-parsing-syntacto/) 21. [**The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification**Chloé Braud, Yang Janet Liu, Eleni Metheniti, et al.*2023 · 37 citations*](https://md.research.elamur.ai/free/en/papers/braud-2023-disrpt-2023-shared-task-elementary/) 22. [**Variational Neural Discourse Relation Recognizer**Biao Zhang, Deyi Xiong, Jinsong Su, et al.*2016 · 30 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-discourse-relation-recognizer/) 23. [**On the Need of Cross Validation for Discourse Relation Classification**Wei Shi, Vera Demberg*2017 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shi-2017-need-cross-validation-discourse-relation/) 24. [**GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing**Siyao Peng, Yang Janet Liu, Amir Zeldes*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/peng-2022-gcdt-chinese-rst-treebank-multigenre/) 25. [**Text Generation from Discourse Representation Structures**Jiangming Liu, Shay B. Cohen, Mirella Lapata*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-text-generation-discourse-representation-structures/) 26. [**T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation**Anubhav Jangra, Preksha Nema, Aravindan Raghuveer*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/) 27. [**Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification**Wei Shi, Frances Yung, Vera Demberg*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-acquiring-annotated-data-cross-lingual/) 28. [**Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?**Sweta Agrawal, Amin Farajian, Patrick Fernandes, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2024-assessing-role-context-chat-translation/) 29. [**Translators' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation**Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wyss-2026-translators-perceptions-edit-traces-quality/) 69 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/jun-suzuki/) — Jun Suzuki